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Imperial College near infrared spectroscopy neuroimaging analysis framework.

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Title: Imperial College near infrared spectroscopy neuroimaging analysis framework.
Authors: Orihuela-Espina, F
Leff, DR
James, DRC
Darzi, AW
Yang, G-Z
Item Type: Journal Article
Abstract: This paper describes the Imperial College near infrared spectroscopy neuroimaging analysis (ICNNA) software tool for functional near infrared spectroscopy neuroimaging data. ICNNA is a MATLAB-based object-oriented framework encompassing an application programming interface and a graphical user interface. ICNNA incorporates reconstruction based on the modified Beer-Lambert law and basic processing and data validation capabilities. Emphasis is placed on the full experiment rather than individual neuroimages as the central element of analysis. The software offers three types of analyses including classical statistical methods based on comparison of changes in relative concentrations of hemoglobin between the task and baseline periods, graph theory-based metrics of connectivity and, distinctively, an analysis approach based on manifold embedding. This paper presents the different capabilities of ICNNA in its current version.
Issue Date: 19-Sep-2017
Date of Acceptance: 23-Aug-2017
URI: http://hdl.handle.net/10044/1/51611
DOI: https://dx.doi.org/10.1117/1.NPh.5.1.011011
ISSN: 2329-4248
Publisher: Society of Photo-optical Instrumentation Engineers
Journal / Book Title: Neurophotonics
Volume: 5
Issue: 1
Copyright Statement: © 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Sponsor/Funder: Consejo Nacional de Ciencia y Tecnología (CONACYT) de México
Funder's Grant Number: 237251
Keywords: functional near infrared spectroscopy
near infrared spectroscopy
neuroimaging
software
Publication Status: Published
Article Number: 011011
Appears in Collections:Department of Surgery and Cancer
Computing